DX Today | No-Hype Podcast & News About AI & DX

Rick Spair
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The DX Today Podcast: Real Insights About AI and Digital Transformation Tired of AI hype and transformation snake oil? This isn't another sales pitch disguised as expertise. Join a 30+ year tech veteran and Chief AI Officer who's built $1.2 billion in real solutions—and has the battle scars to prove it. No vendor agenda. No sponsored content. Just unfiltered insights about what actually works in AI and digital transformation, what spectacularly fails, and why most "expert" advice misses the mark. If you're looking for honest perspectives from someone who's been in the trenches since before "digital transformation" was a buzzword, you've found your show. Real problems, real solutions, real talk. For executives, practitioners, and anyone who wants the truth about technology without the sales pitch.

  1. 37M AGO

    The Agentic Pivot: AI’s Transition from Hype to ROI

    Send a text As of February 2026, the artificial intelligence industry has reached a critical inflection point characterized by a transition from speculative "story-driven" growth to a rigorous demand for realized earnings. This period, termed "AI Adulthood," marks a structural re-rating of the market. Investors are no longer rewarding massive capital expenditure (capex) on infrastructure alone; they are demanding clear, margin-accretive revenue and audited productivity gains. The central theme of this shift is the "agentic pivot"—a move away from increasing model parameters toward developing autonomous systems capable of executing end-to-end business workflows. While major Western tech entities face valuation pressure and heightened scrutiny, geopolitical actors and sovereign wealth funds continue to invest in long-term digital sovereignty, potentially shifting the global center of gravity for AI infrastructure.

    32 min

  2. 6H AGO

    Agentic AI in Transportation and Logistics

    Send a text In this episode of DX Today, we explore the monumental shift from predictive automation to agentic artificial intelligence within the transportation and logistics sector. While traditional systems have long served as simple records of data or predictive tools for human operators, the emergence of agentic AI introduces software capable of independent reasoning, tool usage, and goal-oriented action. We dive into how these autonomous agents are moving beyond merely flagging delays to actively resolving them by negotiating freight rates, rerouting shipments, and managing complex compliance documentation without constant human oversight. This transition marks a new era where the supply chain evolves into a self-healing system, decoupling business growth from manual labor while addressing the chronic volatility and labor shortages currently facing the global market.We also take a deep dive into the technical architectures and real-world case studies currently defining the landscape, from Uber Freights digital brokerage innovations to Blue Yonders advanced supply chain orchestrators. The discussion covers the critical hurdles facing widespread adoption, including the emerging legal liability gap for autonomous errors and the technical challenges of integrating sophisticated AI with legacy enterprise systems. Looking toward 2030, we examine the future of agent-to-agent commerce and the changing role of logistics professionals as they transition into governance officers for vast fleets of digital agents. This episode provides essential strategic recommendations for leaders looking to navigate the risks and rewards of this technological frontier to build more resilient and efficient global trade networks.

    11 min

  3. 7H AGO

    DX Today AI Daily Brief - Tuesday, February 17, 2026

    Send a text DX Today AI Daily Brief - Tuesday, February 17, 2026

    8 min

  4. 21H AGO

    Regional Banking’s Massive Hidden AI Footprint

    Send a text This episode outlines a governance framework designed to help regional banks manage the growing complexities of artificial intelligence and regulatory compliance. It details a survey-based architecture for discovering and categorizing various technologies, including shadow AI, vendor-embedded models, and autonomous agents. The framework is built upon established model risk management principles, such as SR 11-7, to ensure that every automated decision is transparent and defensible. By focusing on evidence-based oversight, the document provides a roadmap for institutions to transition from static checklists to real-time telemetry and audit readiness. Ultimately, it emphasizes the necessity of human-in-the-loop controls and robust data security to mitigate the unique operational risks posed by an AI-driven ecosystem.

    40 min

  5. 1D AGO

    Comprehensive Briefing: The State of the AI Ecosystem (February 2026)

    Send a text DX Today outlines a major shift in the 2026 technological landscape as artificial intelligence moves from speculative hype to rigorous financial and operational accountability. Enterprises are now prioritizing agentic utility and "hard math," demanding clear returns on investment while terminating projects that fail to provide measurable fiscal value. A key technical advancement is the Model Context Protocol (MCP), which has emerged as a universal standard for connecting autonomous agents to corporate data and external tools. Simultaneously, new regulations like California’s AB 2013 and the EU AI Act are forcing developers to disclose training data and ensure model explainability to avoid legal pitfalls. Finally, the rise of autonomous systems has introduced significant liability risks, necessitating specialized audit tools to track decision-making and protect against "AI malpractice" lawsuits. This evolution signifies the birth of an autonomous economy where standardized data, transparency, and proven performance are the primary drivers of success.

    42 min

  6. 1D AGO

    Agentic AI in Legal Services

    Send a text In this episode of DX Today, we explore the seismic shift currently transforming the legal industry as it moves beyond basic generative AI toward the era of Agentic AI. While previous years were defined by copilots that assisted with drafting and summarization, 2026 has ushered in autonomous systems capable of planning and executing complex, multi-step workflows with minimal human intervention. We dive into the technical architecture behind these digital associates, examining how frameworks like Reasoning and Acting allow tools from industry leaders like Harvey and Ironclad to perform end-to-end tasks such as litigation research and contract redlining. With Gartner predicting that nearly half of enterprise applications will soon feature these task-specific agents, we analyze why this transition represents the most significant technological milestone since the digitization of case law.The implications of this shift extend far beyond simple efficiency, as early adopters report staggering time savings of up to seventy percent on critical tasks like fact extraction. However, this leap toward an autopilot model brings a host of new challenges, from the potential collapse of the traditional billable hour to urgent regulatory concerns regarding the unauthorized practice of law and professional liability. We discuss the latest guidance from the California Bar and the EU AI Act, emphasizing why human oversight remains non-negotiable even as machines take on more sophisticated roles. This episode provides a strategic roadmap for law firms looking to navigate this high-stakes landscape, offering insights on data hygiene, prompt engineering, and the transition toward value-based billing in a world where the agent era has officially begun.

    8 min

  7. 1D AGO

    DX Today AI Daily Brief - Monday, February 16, 2026

    Send a text DX Today AI Daily Brief - Monday, February 16, 2026

    8 min

  8. 2D AGO

    Agentic AI in Drug Discovery

    Send a text In this episode of DX Today, we explore the transformative impact of agentic AI on the pharmaceutical industry, a shift that is moving drug discovery from years of manual labor to months of autonomous execution. Unlike traditional predictive models, these agentic systems leverage large language models to reason, plan, and interact directly with robotic labs, enabling a closed-loop process of hypothesis generation and experimental validation. We dive into the technical architectures—including ReAct frameworks and multi-agent swarm systems—that allow these tools to navigate complex biomedical workflows, from initial target identification to automated synthesis planning, with unprecedented speed and scientific precision.We also examine the market dynamics driving this revolution, with projections suggesting the agentic AI sector in pharma will exceed twenty-five billion dollars by 2030 as industry leaders slash development costs and accelerate clinical trial cycles. The episode covers real-world case studies where agentic workflows have already delivered novel drug candidates to clinical trials in record time, while also addressing the critical challenges of data heterogeneity, hallucination risks, and the evolving regulatory landscape. Looking toward a future of fully autonomous discovery labs, we discuss the strategic imperatives for healthcare leaders to integrate these intelligent systems into their research pipelines to stay competitive in a rapidly evolving digital landscape.For more, visit https://dxtoday.com

    11 min
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About

The DX Today Podcast: Real Insights About AI and Digital Transformation Tired of AI hype and transformation snake oil? This isn't another sales pitch disguised as expertise. Join a 30+ year tech veteran and Chief AI Officer who's built $1.2 billion in real solutions—and has the battle scars to prove it. No vendor agenda. No sponsored content. Just unfiltered insights about what actually works in AI and digital transformation, what spectacularly fails, and why most "expert" advice misses the mark. If you're looking for honest perspectives from someone who's been in the trenches since before "digital transformation" was a buzzword, you've found your show. Real problems, real solutions, real talk. For executives, practitioners, and anyone who wants the truth about technology without the sales pitch.

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